淡江大學機構典藏:Item 987654321/52487
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64187/96966 (66%)
Visitors : 11335839      Online Users : 106
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/52487


    Title: 結合基因演算法與線性規劃法於結構最佳化設計
    Other Titles: Optimum design of structures by methods of genetic algorithm and linear programming
    Authors: 劉敬文;Liu, Jing-wen
    Contributors: 淡江大學航空太空工程學系碩士班
    張永康
    Keywords: 基因演算法;線性規劃法;靈敏度分析;Genetic Algorithm;Linear programming;Sensitivity analysis
    Date: 2010
    Issue Date: 2010-09-23 17:51:01 (UTC+8)
    Abstract: 本研究是結合基因演算法與線性規劃法兩種不同的最佳化方法於結構最佳化設計之研究。利用基因演算法全域隨機搜尋的特性，將結構最佳化問題轉換為適存函數，並以亂數作全域隨機搜尋避免落入區域最佳解。接著使用基因演算法求得之結果再利用逐次線性規劃法找尋是否有更佳解，逐次線性規劃法則採用中心差分法計算結構靈敏度以加快程式收斂之效率。
    本研究以ANSYS有限元素分析軟體中的APDL語法與FORTRAN程式結合成一系統程式。並以七個不同範例執行結構最佳化設計，數值範例中將對各種結構作分析與討論，分別以結構輕量化設計或提高結構之第一自然振動頻率為目的。範例中驗證結合基因演算法與線性規劃法於結構之最佳化設計上可以得到不錯的結果。
    Genetic Algorithm (GA) system and Sequential Linear Programming (SLP) were used for structural optimization in this study. The advantage of Genetic Algorithm is that it has multi-point search strategy instead of one-point search to find the global optimum in a space. The ability of Genetic Algorithm is that it can jump over the local optimum and obtain the global optimum. After the solution of Genetic Algorithm was obtained, we can use Sequential Linear Programming to find whether there is a better solution. Since sensitivity can provide the optimal search direction,the central difference method was used in sensitivity analysis.
    A systematic program which combined APDL of ANSYS with FORTRAN to calculate sensitivity and necessary data for GA and SLP was developed in this study. Optimum design of different structures will be analyzed in numerical examples. The optimum design of structures by the improved methods of GAand SLP were proved to be better than other references in this study.
    Appears in Collections:[Graduate Institute & Department of Aerospace Engineering] Thesis

    Files in This Item:

    File SizeFormat
    index.html0KbHTML290View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback